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Series Research on Big Data Analysis and AI Modeling for Heart Failure in China

Heart Failure Artificial Intelligence Standardized Database — A Series of Studies on Retrospective Analysis of Heart Failure-Related Big Data and Construction of Artificial Intelligence Models

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600124082
Enrollment
Unknown
Registered
2026-05-07
Start date
2026-05-11
Completion date
Unknown
Last updated
2026-05-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Failure

Interventions

Heart Failure Cohort Group:None

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Hospitalized heart failure patients enrolled in the CCA Database- Heart Failure Center from January 1, 2017 to December 31, 2024.

Exclusion criteria

Exclusion criteria: 1. Lack of definite diagnostic evidence for heart failure (both BNP and NT-proBNP missing, and no record of typical symptoms or signs); 2. Missing or unknown basic information including age, gender, medication status, and discharge outcomes.

Design outcomes

Primary

MeasureTime frame
One-year all-cause mortality after discharge;—

Secondary

MeasureTime frame
30-day readmission rate after discharge;In-hospital all-cause mortality;Overall Guideline-Directed Medical Therapy prescription rate;Guideline-Directed Medical Therapy target dose attainment rate;Consistency between AI agent platform and specialist physicians’ judgment;Diagnostic performance of the AI agent platform;Performance of artificial intelligence prognostic prediction model;Clinical phenotyping stratification and prognostic differences of heart failure;—

Countries

China

Contacts

Public ContactZou Tong

Beijing Hospital

zoutong2001@163.com+86 136 0116 4422

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 16, 2026